Observing behavior of single molecules in real time

7 04 2014

Stanford scientists develop technique for observing behavior of single molecules in real time

The new technique allows scientists to observe single molecules of protein or DNA as they bind with other molecules, and could lead to better drug designs.

 

Nearly every biological or chemical reaction that makes life possible involves single molecules interacting in the watery solution that sloshes in and around cells.

Now, a Stanford chemistry professor and his graduate student have developed a technique for observing these processes as they happen in real time.

W.E. Moerner, a professor of chemistry, specializes in single molecule fluorescence, a field that involves studying how biomolecules – such as DNA and enzymes – work in cells to carry out the processes that are critical to life. The new advance describes how Moerner and his graduate student, Quan Wang, modified an ABEL (Anti-Brownian ELectrokinetic) trap, a machine invented in Moerner’s lab that uses electric fields to manipulate individual small molecules from the light they emit, to isolate a single strand of DNA and observe how it binds to other DNA, in aqueous solution.

 

Stanford researchers have developed a technique to observe behavior of single molecules of protein or DNA in real time.

Stanford researchers have developed a technique to observe behavior of single molecules of protein or DNA in real time.

The work is detailed in the journal Nature Methods.

Getting this process started takes a little bit of luck, Wang said, as they must wait until a single molecule happens to be in the vicinity of the trap. This all happens at an incredibly tiny scale. The trap covers about a square centimeter, but the molecules are just 1 nanometer long. (For perspective, that’s trapping a single grain of pollen on a football field, and then, without ever touching it, studying its behavior and characteristics.)

Once a lone molecule has entered the trap, its motion comes under continuous surveillance. Although the molecule doesn’t want to sit still, every time it attempts to escape, the ABEL trap automatically applies electric fields to push it back.

Using physical analysis and computational tricks from machine learning, Wang developed an algorithm to convert the observed single-molecule motions inside the trap into information about the molecule’s size and electric charge. From this, the researchers can determine whether the target molecule has interacted with another molecule.

In the case of DNA, if it begins to hybridize – that is, if it begins to bond to a complementary strand of DNA – the readings from the trap will show that the trapped DNA has an increase in both size and charge. When the process reverses a few instants later – that is, when the DNA melts and its complementary strand falls off – the trapped molecule’s size and charge change back correspondingly.

“It is really quite amazing to be able to trap a single short piece of single-stranded DNA, to watch it for many seconds and directly observe a partner strand bind and unbind,” Moerner said. “This is really an essential process.”

The researchers conducted similar tests using proteins, and Wang said that the technology in its current state can easily be applied to many different types of molecules to study other binding processes.

“We’ve done the proof of concept for the method, and soon we want to apply it to two very specific problems and get some science out of it,” said Wang, who is a graduate student in electrical engineering.

The first involves drug design. Drugs target diseases by binding to receptor molecules on cells, and the drug’s effectiveness often depends on how well and for how long it binds to its receptor. By gauging the size and total charge of the molecules as they form a complex, the trap can directly measure how long it takes for the drug to find its receptor and how long the complex stays together. This information could guide scientists toward designing drugs that better match their target receptor.

Another application is to study the role protein aggregation plays in various diseases. As people age, proteins can become “sticky” and accumulate, a hallmark of several diseases, including Huntington’s. The trap provides a direct way to study the size distribution of these proteins and how they aggregate; understanding this effect could lead to treatments that inhibit it.

Other students and postdoctoral scholars in Moerner’s group are working to make the trap respond even more quickly, to perform more optimally in other situations, or to study different properties of single molecules. Moerner said that the interdisciplinary makeup of his group (including him; he holds a degree in electrical engineering as well as in chemistry) is critical for understanding all the different facets of this work, and then for smart implementation of it.

“We use light to probe molecules – that’s physics and chemistry,” Moerner said. “And we apply it to biology and biomedical systems. But at the core is precise measurement, extracting as much information as possible from a single object, and that can be done with concepts from electrical engineering.

“It’s a natural thing at Stanford for students in one department to do thesis research in another. It’s one of the wonderful aspects at Stanford, and it can lead to wonderful work such as this.”

 

BY BJORN CAREY

 

 

News.stanford.edu [en línea] Stanford, CA (USA): news.stanford.edu, 07 de abril de 2014 [ref. 14 de marzo de 2014] Disponible en Internet: http://news.stanford.edu/news/2014/march/dna-binding-observed-031414.html

 



Científicos confirman que las pantallas táctiles de los smartphones pueden detectar biomoléculas

23 01 2012

De avanzar en sus investigaciones, los científicos hablan de un futuro donde las pantallas táctiles como las de los smartphones podrían llegar a ser capaces de eliminar el tiempo en las salas de espera de los médicos o incluso la posibilidad de detectar tipos de cáncer. La tecnología de las pantallas táctiles se puede utilizar para detectar la materia biomolecular tal y como se hace en las pruebas médicas.

Así lo han confirmado un grupo de investigadores del Instituto Avanzado de Ciencia y Tecnología en Corea (KAIST). Según Hyung-gyu Park, quién dirigió el estudio:

“Todo comenzó a partir de la idea de que las pantallas táctiles trabajan mediante el reconocimiento de las señales electrónicas del toque del dedo, por lo que la presencia de proteínas específicas de ADN también se dan a conocer.”

Según los investigadores, las pantallas táctiles de los smartphones, PDAs o tabletas funcionan a través de la detección de cargas electrónicas del cuerpo del usuario en la pantalla. De esta forma, bioquímicos como las proteínas y las moléculas de ADN también tienen estas cargas específicas electrónicas.

Los experimentos llevados a cabo por el equipo mostraron que estas pantallas podían reconocer la existencia y la concentración de moléculas de ADN, hecho que sería el primer paso para que un día fueran capaces de utilizarse para llevar a cabo exámenes médicos.

“Hemos confirmado que las pantallas táctiles son capaces de reconocer las moléculas de ADN con casi un 100% de exactitud, casi de la misma forma que lo haría un equipo médico convencional. Esta igualdad creemos que es posible con las proteínas.”

“Hay proteínas conocidas en el mundo médico como aquellas que se utilizan para diagnosticar el cáncer de hígado… podríamos ser capaces de ver el estado del hígado del paciente.”

El siguiente paso según cuentan los investigadores es el desarrollo de un tipo de película en los materiales reactivos que pueda identificar sustancias bioquímicas específicas, probabilidad con la esperanza de que esto permita a las pantallas táctiles reconocer diferentes materiales biomoleculares.

Sea como fuere, es un primer paso. Como ellos mismos explican, nadie pondrá sangre u orina sobre una pantalla. Se piensa que las muestras se colocarían en un sistema que luego sería introducido en el teléfono o en un módulo que a su vez iría conectado al teléfono.

“… de esta forma, la ubicación y concentración de la muestra se reconocería de la misma manera que se reconoce el toque de los dedos.”

El Profesor Hyun Gyu Park (hgpark@kaist.ac.kr) pertenece al Departamento de Ingeniería Química y Biomolecular (BK21 Program), del KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701 (Korea) http://bcbd.kaist.ac.kr

Alt1040.com [en línea] Madrid (España): alt1040.com, 23 de enero de 2012 [ref. 23 de enero de 2012] Disponible en Internet: http://alt1040.com/2012/01/cientificos-confirman-que-las-pantallas-tactiles-de-los-smartphones-pueden-detectar-biomoleculas